Consultant Software Engineer - (26000CL7)

Consultant Software Engineer / AI Application Developer
Type: Full-Time | Level: Mid to Senior (7–10 Years of Experience)

Key Responsibilities

 

1. AI Application Design & Development
•  Design and develop AI-powered applications using LLMs (OpenAI, Anthropic, Azure OpenAI, etc.)
•  Build and maintain RAG (Retrieval-Augmented Generation) pipelines including vector stores, chunking strategies, and embedding models

 

2. Agentic Solutions & Orchestration
•  Develop agentic solutions using frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or Semantic Kernel
•  Implement and integrate MCP (Model Context Protocol) servers and clients for tool-enabled LLM workflows
•  Build and expose tools, APIs, and data connectors for use within agent runtimes
•  Work with orchestration patterns: multi-agent systems, planning loops, memory management, and tool-use

 

3. Quality, Evaluation & Prompt Engineering
•  Evaluate LLM output quality, implement guardrails, and optimize prompt engineering

 

4. Full Stack Development
•  Design and develop full stack applications spanning backend (Python / .NET) and frontend (React) layers

 

5. Cloud & Production Deployment
•  Architect and deploy solutions on cloud platforms (AWS and/or Azure)
•  Collaborate with data engineers and backend teams to integrate AI capabilities into production systems
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Required Skills

 

Core Experience
•  7–10 years of overall software development experience
•  1–3 years of hands-on experience working in the AI/ML domain
•  Strong full stack development experience: Python and/or .NET on the backend, React on the frontend

 

Technical Expertise
•  Cloud platform experience: AWS (Bedrock, Lambda, S3, etc.) and/or Azure (Azure OpenAI, Azure ML, AKS, etc.)
•  Hands-on experience building RAG pipelines (LlamaIndex, LangChain, or custom)
•  Experience with vector databases (Chroma, Qdrant, Weaviate, pgvector, etc.)
•  Familiarity with MCP and tool/function calling patterns in LLM applications
•  Experience designing agentic workflows (ReAct, plan-and-execute, multi-agent)
•  REST API development (FastAPI / Flask / ASP.NET)
•  Understanding of prompt engineering, context window management, and LLM evaluation
________________________________________
Nice to Have
•  Familiarity with observability tools for LLM apps (LangSmith, Arize, Helicone)
•  Knowledge of fine-tuning or RLHF workflows
•  Exposure to MCP server development (SSE / stdio transport)
•  Containerization with Docker / Kubernetes
•  Experience working in the cyber domain or having cyber knowledge will be an added advantage
 

Required Skills

 

Core Experience
•  7–10 years of overall software development experience
•  1–3 years of hands-on experience working in the AI/ML domain
•  Strong full stack development experience: Python and/or .NET on the backend, React on the frontend

 

Technical Expertise
•  Cloud platform experience: AWS (Bedrock, Lambda, S3, etc.) and/or Azure (Azure OpenAI, Azure ML, AKS, etc.)
•  Hands-on experience building RAG pipelines (LlamaIndex, LangChain, or custom)
•  Experience with vector databases (Chroma, Qdrant, Weaviate, pgvector, etc.)
•  Familiarity with MCP and tool/function calling patterns in LLM applications
•  Experience designing agentic workflows (ReAct, plan-and-execute, multi-agent)
•  REST API development (FastAPI / Flask / ASP.NET)
•  Understanding of prompt engineering, context window management, and LLM evaluation
________________________________________
Nice to Have
•  Familiarity with observability tools for LLM apps (LangSmith, Arize, Helicone)
•  Knowledge of fine-tuning or RLHF workflows
•  Exposure to MCP server development (SSE / stdio transport)
•  Containerization with Docker / Kubernetes
•  Experience working in the cyber domain or having cyber knowledge will be an added advantage