Vacancy description

Builder Developer III in Hyderabad, भारत

ECI Software Solutions

  • Full-timeStandard weekly hours

Hyderabad, भारत

The Builder-3 Profile

You are a systems engineer for non-deterministic systems. You are comfortable saying no not yet to a working demo and you can say exactly what would change your mind.

1. Core DNA (shared foundation at lead altitude)

  • AI-Native Workflow. You dont just use AI tools fast you set the squads bar for what fast and safe looks like and you remove the bottleneck when someone hits one.

  • Agentic Architecture. You still build end-to-end agents yourself and you do. But your leverage comes from designing the state management tool interfaces and failure semantics that everyone else builds inside.

  • Legacy-to-Modern Sequencing. You decide which legacy modules get modernized first based on blast radius data gravity and how cheaply success can be measured not on which one looks most fun.

  • Measured Reliability. You define what reliable enough means for each workflow: acceptance thresholds regression suites human-in-the-loop checkpoints rollback paths. You know that 100% accurate is a marketing phrase and that the engineering version is a measured error rate with a defined containment strategy.

2. The Three Things You Own

a) The Guardrail Layer Input and output validation tool-permission scoping financial and PII data handling sandboxed execution human approval gates on irreversible actions kill switches blast-radius containment. You assume the agent will eventually do the wrong thing and you design so that it costs us a log line instead of a General Ledger.

b) The Eval Framework Golden datasets built from real ERP edge cases. Offline evals in CI as a merge gate online evals in production. LLM-as-judge calibrated against human labels and you know when that calibration has drifted. Regression detection when a model version prompt or retrieval index changes underneath you. You move the squad from prompt vibes to a number that can fail a build.

c) The Cost & Performance Envelope Model routing caching context budgeting latency budgets. You track token cost per completed business transaction not per call and you can tell the CFO why a workflow costs what it costs and where the next 40% comes from.

3. Elective Depth (be deep in one fluent in all six)

  • Agentic Architect (Systems) state management and tool-calling interfaces for long-running business processes across complex ERP schemas.

  • UX/Interaction (Product) generative UIs and browser-use agents; designing where the human stays in the loop and where they dont need to be.

  • Data & Context (Data) RAG and knowledge-graph architecture: vector stores chunking strategy retrieval evals and the relationship between a Purchase Order and a GL entry.

  • Reliability & Eval (QA) programmatic prompt optimization (DSPy) red-teaming agents adversarial testing of financial logic.

  • Infra & Agent-Ops (DevOps) the factory where agents live: tracing logging and monitoring the thoughts of the AI; deployment and rollback of prompts and models as versioned artifacts.

  • Domain Logic Translation (Business) turning 50 pages of accounting regulation into structured system prompts and agentic constraints.

What Youll Actually Do

  • Set the definition of shippable. Write the standard for when an agent can touch production data and enforce it in code not in a wiki page.

  • Build the eval harness and wire it into CI as a gate that can and does block merges.

  • Design the guardrails around regulated and financial logic including the human approval and rollback paths.

  • Run design reviews. Kill bad agent architectures in week one instead of month four. Be specific about why.

  • Own agent incidents. Pull the traces find the root cause and add the eval that makes that failure impossible to reintroduce.

  • Make build-vs-buy calls on frameworks vendors and models and revisit them when the ground shifts which it will.

  • Grow Builder 1s and 2s through code review design review and pairing. Not through ceremony.

What Good Looks Like

(Targets to be agreed with the hiring manager these are illustrative not fixed.)

  • 90 days: Eval harness running in CI on at least two live agentic workflows with a published reliability baseline. A written enforced guardrail standard.

  • 6 months: Every production agent has a regression suite a cost-per-transaction number and a rollback path. Agent-related incidents are down and post-incident evals exist for each.

  • 12 months: The squad ships agentic modules on a predictable cadence without you in the critical path of each one.

The Stack

Python SQL (Postgres/SQL Server) TypeScript OpenAI/Anthropic pgvector/Qdrant LangChain/LangGraph DSPy dbt Apache Hop/Airflow Docker Weights & Biases OpenTelemetry plus the orchestration layer youll live in: eval and tracing platforms (LangSmith / Langfuse / Braintrust or equivalent) policy and guardrail tooling model routing and caching. And any other tool that helps us achieve greatness.

Who You Are

  • Youve been burned. You have shipped an agentic system to real users watched it fail in a way you didnt predict and changed your architecture because of it. This is the single strongest signal for this level.

  • Rigor over hype. You love new models and you still ask for the eval numbers first. You know the difference between a cool demo and a production-grade agent handling financial data.

  • Agent-first thinker. You think in capabilities and failure modes not functions.

  • The manual-task hater. If you do a task twice youve already started drafting the workflow that kills it.

  • Technically fearless. A 500-table undocumented legacy schema is a puzzle not a threat.

  • A multiplier. Your best week is one where the squad shipped three things and you wrote one design doc and two brutal useful reviews.

Why Join Us

  • The Final Boss of complexity. ERPs are the hardest problem in software for AI. Automate a General Ledger and youve mastered the game.

  • Agentic autonomy. We dont do tickets. We do missions. You choose the models frameworks and architectures you believe will win.

  • No red tape. If the agent works and the evals pass we ship. No Change Management Committee a Does It Work policy. Note that you are the person who defines what works means.

  • The Builder Tribe. You will not be the only AI person in the room. Youll lead a squad of people as obsessed with moving 10x faster as you are.

Required Experience:

IC

Similar vacancies

More like this role

Zealant Consulting Group

MERN Stack Developer (Websocket)

  • Product Management

Rs 25 - 30 lakhs p.a.

Interview Process: R1- AI Interview Assesment R2- Panel round Technical R3- F2F with founders R4- HR Culture fit / salary Discussion Position Name: Product Developer- III Experience : Min. 6 - 8 Yrs We’re looking for a Tech Lead who is not just a coder but a builder, problem solver, and leader. Someone who can dive deep ...

Bangalore, भारत

Razorpay Software Private Limited

AI Builder

  • Full-time

$180 USD - $740 USD

... with Razors, you’ll be part of a 3000+ strong team building not just products, but the financial infrastructure of the future. About the role : We're hiring AI Builders: AI-first people from product, data or business backgrounds who find a real business problem, ship a working AI solution themselves, and get it adopted. Think ...

Bangalore, भारत

  • Remote
  • Full-time
  • Contract

$50 USD - $60 USD / hour

... Francisco our investors include Benchmark General Catalyst Peter Thiel Adam DAngelo Larry Summers and Jack Dorsey . Position: Computer Power Users & Automation Builders (Must own MacBook) Type: Contract Compensation: $50$60/hour Location: Remote Commitment: 1020 hours/week Role Responsibilities - Complete and narrate real ...

Bombay, भारत

VML/WPP Enterprise Solutions

Lead Magento App Builder Consultant

... timelines - Drive productivity improvements and engineering best practices - Ensure adherence to organizational quality standards What we want from you - App Builder experience with ACCS (Adobe Commerce Cloud Services) - Mandatory - 8+ years of experience with Magento Commerce, including Magento hosting configuration and ...

Noida, भारत

  • Sales
Role Overview: We are looking for an energetic and result-oriented EPC & Panel Builder Sales Manager to develop and grow business with EPC & Panel Builders, system integrators and industrial customers. The candidate will be responsible for identifying new EPC & Panel Builder opportunities, developing customer relationships, ...

Calcutta, भारत

... Everything that makes you unique is welcome; join us and let’s build what’s next - together! Sr. Application Analyst [Supply Chain Applications | Anaplan Model Builder] At Anaplan, we are innovators dedicated to enhancing business decision-making with our AI-powered scenario planning and analysis platform, enabling our customers ...

Gurgaon, भारत

  • Full-time
... Technical Consultant – Senior, with primary expertise in Oracle Integration Cloud (OIC) and BI Publisher (BIP), complemented by hands-on experience in Oracle Visual Builder Studio (VB Studio) and Oracle AI Agents. The ideal candidate will have a strong Oracle Fusion Cloud technical background and proven experience delivering integrations, ...

Ernakulam, भारत

  • Full-time
  • Backend
... applications using https://jobeax.com/link/JSd7UYCSg572jJDY to deliver high-quality, efficient solutions for web applications. You will work closely with front-end developers, designers, and other team members to ensure seamless integration, optimize performance, and enhance overall functionality. Key responsibilities include managing ...

Mormugao, भारत

  • Hybrid
  • Full-time
  • Contract
  • Backend

€4.3 EUR

Job Description At SIXT, we are engineering the future of mobility, one system at a time. As a Senior Backend Engineer in our Data Science Finance team, you will develop the systems that power the full financial risk steering cycle.

Bangalore, भारत