Title: Gen AI
Location: California
Duration: Long-Term Contract
Experience: 8–15 Years
Employment Type: Contract
Job Summary:
Coforge is seeking an experienced in Generative AI with 8+ years of software engineering experience and strong expertise in designing, developing, and deploying enterprise-grade GenAI solutions. The ideal candidate will have hands-on experience with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, prompt engineering, vector databases, and cloud-native AI services. The role involves building scalable AI applications, integrating LLMs into enterprise systems, and collaborating with cross-functional teams to deliver innovative AI-powered solutions across multiple industries.
Required Skills:
· 8+ years of Software Development experience
· 2+ years of hands-on experience with Generative AI technologies
· Strong proficiency in Python
· Experience with Large Language Models (LLMs) including GPT, Claude, Gemini, Llama, or Mistral
· Hands-on experience with LangChain, LangGraph, LlamaIndex, or Semantic Kernel
· Experience building RAG (Retrieval-Augmented Generation) solutions
· Strong knowledge of Prompt Engineering and prompt optimization
· Experience developing AI Agents and multi-agent workflows
· Experience with Vector Databases such as Pinecone, ChromaDB, FAISS, Weaviate, or Milvus
· Experience integrating AI models through REST APIs
· Strong understanding of embeddings, tokenization, and semantic search
· Experience with Azure OpenAI, AWS Bedrock, Google Vertex AI, or OpenAI APIs
· Experience with Docker and Kubernetes
· Familiarity with CI/CD pipelines using Azure DevOps, GitHub Actions, or Jenkins
· Experience with Git, GitHub, or Bitbucket
· Experience working in Agile/Scrum environments
· Strong analytical and problem-solving skills
Preferred Skills
· Azure AI Foundry / Azure AI Studio
· AWS Bedrock
· Google Vertex AI
· Hugging Face Transformers
· TensorFlow or PyTorch
· Knowledge Graphs
· Neo4j
· Redis
· Kafka
· MLflow
· Databricks
· FastAPI
· Streamlit or Gradio
· MCP (Model Context Protocol)
· A2A (Agent-to-Agent)
· AI Observability tools
· Prompt Flow
· AI Security and Responsible AI
· Experience in Banking, Healthcare, Insurance, Retail, or Manufacturing domains
Responsibilities:
· Design, develop, and deploy enterprise-grade Generative AI applications.
· Build intelligent AI assistants, copilots, chatbots, and automation solutions.
· Develop scalable RAG pipelines using vector databases and enterprise data sources.
· Build AI Agents and orchestrate multi-agent workflows.
· Integrate LLMs with enterprise applications and APIs.
· Optimize prompts, retrieval pipelines, and model performance.
· Develop secure, scalable, and production-ready AI solutions.
· Collaborate with Product Owners, Architects, Data Scientists, and Engineering teams.
· Implement monitoring, logging, evaluation, and governance for AI applications.
· Participate in architecture discussions, code reviews, and technical design sessions.
· Troubleshoot production issues and continuously improve AI solution performance.
· Follow software engineering best practices, DevOps processes, and Agile methodologies.
Qualifications
· Bachelor''s or Master''s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
· 8–15 years of software engineering experience.
· 2+ years of hands-on Generative AI development experience.
· Strong communication and stakeholder management skills.
· Ability to work independently and within distributed Agile teams. Top of Form
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