We are looking for a high-performing Senior AI Engineer (including MCP) to lead the development and delivery of enterprise Model Context Protocol (MCP) integrations in Phase 1, and governed multi-model access, evaluation, and observability in Phase 2.
The ideal candidate will combine strong backend software engineering in Python with direct hands-on experience implementing the Model Context Protocol (MCP), LLM APIs (Anthropic Claude, OpenAI), tool-calling, and evaluation frameworks, ensuring robust, production-grade agentic workflows and reliable model interfaces across the engagement.
Programme Context & Phased Effort Allocation
The engagement is structured as a 22-week sequential programme divided into two delivery phases, assuming a five-day working week:
Phase 1: MCP Gateway and Governance (Weeks 1–10 / 10 Weeks): Full-time allocation (1.0 FTE) developing reference MCP servers, API adapters, central registry onboarding checks, and validating Claude client tool-use workflows.
Phase 2: Model Access through Microsoft Foundry (Weeks 11–22 / 12 Weeks): Full-time allocation (1.0 FTE) integrating Claude, OpenAI, and specialist models, implementing streaming token protocols, usage attribution, and model evaluation harnesses.
Key Responsibilities
Reference MCP Servers & Adapters: Develop reference MCP servers and API adapters, including JSON-schema tool definitions, granular permissions, input validation, and graceful error handling.
Client Tool Connectivity: Connect the selected Claude client to approved MCP tools and thoroughly validate representative agentic workflows and tool-calling execution.
Multi-Model Provider Integration: Integrate Claude, OpenAI, and agreed specialist model endpoints through the approved Azure APIM gateway and Microsoft Foundry.
Streaming, Attribution & Evaluation: Implement and test provider interfaces, streaming token responses, tool use, usage attribution, prompt caching, and model evaluation suites.
Automated Testing & Documentation: Automate integration tests, resolve defects, and document reusable integration patterns and standard operating procedures (SOPs).
Required Skills & Experience
6–10+ years of software engineering experience with senior proficiency in Python (FastAPI, Pydantic, asyncio) or agreed backend integration languages.
Model Context Protocol (MCP) & Agentic Workflows: Hands-on experience implementing the Model Context Protocol (MCP) specification, JSON-RPC, tool-calling schemas, and client-server integrations.
Enterprise LLM Integration: Extensive experience integrating Anthropic Claude and OpenAI APIs, handling authentication, token rate limits, prompt caching, and streaming protocols.
Model Evaluation & Observability: Experience with automated model evaluation, benchmark datasets, prompt engineering, tracing (LangSmith / OpenTelemetry), and cost/usage attribution.
API Design & Automated Testing: Strong background in RESTful APIs, JSON schema validation, automated testing (pytest), mock services, and CI/CD integration.
Security & Data Governance: Understanding of zero-trust API security, payload sanitization, credential handling, and enterprise data privacy.
Preferred Qualifications
Capital Markets / Financial AI Applications: Experience deploying AI applications, document processing, or market research copilots in financial institutions.
Microsoft Foundry & Azure AI: Experience with Microsoft Foundry, Azure OpenAI Service endpoints, and Azure APIM policies.
Agent Frameworks: Familiarity with LangChain, LangGraph, AutoGen, or Semantic Kernel frameworks.
Open Source Contributions: Active contributions to open-source AI tooling, MCP server repositories, or developer SDKs.
Key Competencies
Model Context Protocol (MCP) Architecture
Advanced Python Engineering & Asyncio
LLM API Integration (Anthropic Claude & OpenAI)
Agentic Tool-Calling & Schema Validation
Model Evaluation, Benchmarking & Prompt Optimization
Automated Testing & Integration Test Suites
Production Telemetry & Token Usage Attribution
Developer Tooling & Pattern Documentation
Requirements
Required Skills & Experience
6–10+ years of software engineering experience with senior proficiency in Python (FastAPI, Pydantic, asyncio) or agreed backend integration languages.
Model Context Protocol (MCP) & Agentic Workflows: Hands-on experience implementing the Model Context Protocol (MCP) specification, JSON-RPC, tool-calling schemas, and client-server integrations.
Enterprise LLM Integration: Extensive experience integrating Anthropic Claude and OpenAI APIs, handling authentication, token rate limits, prompt caching, and streaming protocols.
Model Evaluation & Observability: Experience with automated model evaluation, benchmark datasets, prompt engineering, tracing (LangSmith / OpenTelemetry), and cost/usage attribution.
API Design & Automated Testing: Strong background in RESTful APIs, JSON schema validation, automated testing (pytest), mock services, and CI/CD integration.
Security & Data Governance: Understanding of zero-trust API security, payload sanitization, credential handling, and enterprise data privacy.
Benefits
Key Competencies
Model Context Protocol (MCP) Architecture
Advanced Python Engineering & Asyncio
LLM API Integration (Anthropic Claude & OpenAI)
Agentic Tool-Calling & Schema Validation
Model Evaluation, Benchmarking & Prompt Optimization
... Advanced degree(s) BE/BTech in Computer Science, AI/ML, Data Science, or a related field - 4+ years of AI/ML engineering experience (AI Engineer) or 6+ years (Senior AI Engineer), including client-facing roles experience - Demonstrated ability to integrate business and industry knowledge in developing creative AI solutions ...
Senior AI Engineer :Bangalore (Manyata Tech Park) - https://jobeax.com/link/V3VAilstZpHTQqQH role is for a Senior AI Engineer specializing in Agentic AI, AWS, and Databricks, responsible for designing, deploying, and operating production-grade AI https://jobeax.com/link/el9yUoB8PFBAohVP Responsibilities :- Build stateful, ...
... Backbase, we build AI-powered, secure, enterprise-grade digital banking software used daily by millions worldwide. With seamless integration, unified data, agentic AI, and a complete banking suite built for every line of business, you'll be building the next generation of banking. As a Senior iOS Engineer, you will drive the ...
... engineering best practices: testing, CI/CD, observability, and operational excellence. CORE SKILLS GOOD TO HAVE Programming Strong Python development skills. AI Engineering Experience building AI, ML, or data-driven solutions. Generative AI Experience with LLM-based applications and Generative AI solutions. RAG & Retrieval ...
... frontend/backend titles toward a T-shaped, full-stack profile spanning UI, APIs, services, and data pipelines. You serve as a technical authority who mentors peers and raises the bar on AI-native engineering practices. Meet the Job ● As a Senior AI Applied Software Engineer you are a technical cornerstone of your squad. You will ...
The Role :We are looking for a Senior AI Engineer to build the next generation of intelligent trading and advisory systems. You will work at the intersection of Stockbroking and Open Source AI, deploying scalable models on AWS that process millions of transactions and market ticks daily. You will move beyond simple chatbots ...
Job Description: This is a senior technical lead role that pairs deep platform engineering expertise with the thought leadership needed to bring AI into production operations. The person owns the build, hardening, patching, and lifecycle of the operating system and platform estate, and serves as the top escalation point ...
... Expertise • Proven use of Generative AI tools in engineering workflows • Experience with LLM-based solutions and API integrations • Understanding of: • Prompt engineering and output validation • Agent-based architectures and AI workflows Responsibilities Task Description: As a Senior DevOps Engineer, you play a crucial role ...
... reliability, cost, and safety. - Systems Integration & Production - Integrate data platforms, analytics systems, APIs, and AI components into reliable, secure, and maintainable services. - Contribute to the architecture and design of scalable data and AI systems in collaboration with platform and engineering teams. What you'll ...