Software Engineer – AI Engineering

# Job Title: Software Engineer – AI Engineering
Location: Hyderabad, India Experience: 4+ Years Job Type: Full-Time
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## About Anblicks
Anblicks is a Great Place to Work® Certified™ Data and AI company that enables enterprises to become intelligent, data-driven organizations. We specialize in Data Engineering, Cloud, Analytics, and AI solutions, helping global businesses accelerate innovation and digital transformation.
## Position Overview
We are looking for a Software Engineer – AI Engineering with strong full-stack development skills and hands-on experience building AI-powered applications. You will contribute to developing enterprise-grade AI platforms, intelligent agents, and LLM-powered solutions using technologies such as Python, TypeScript, APIs, Model Context Protocol (MCP), Retrieval-Augmented Generation (RAG), and vector databases. This is a hands-on software engineering role focused on building production-ready AI applications—not a traditional Machine Learning or Data Science position. You will work across frontend, backend, AI integrations, and data pipelines to deliver secure, scalable, and reliable AI solutions.
## Key Responsibilities

- Develop and maintain full-stack applications, including user interfaces, backend services, REST APIs, and LLM integrations.
- Build AI agent workflows using LLMs, prompt engineering, tool/function calling, and structured outputs.
- Develop and integrate Model Context Protocol (MCP) servers to connect AI agents with enterprise tools, APIs, and data sources.
- Design and enhance RAG pipelines, including data ingestion, chunking, embeddings, vector search, and context retrieval.
- Build secure AI platform capabilities, including access controls, policy enforcement, human approvals, and usage monitoring.
- Integrate enterprise data sources, semantic layers, business glossaries, and knowledge graphs into AI workflows.
- Develop and maintain data pipelines that support AI applications and RAG-based solutions.
- Implement automated testing, LLM evaluations, logging, tracing, and monitoring to ensure application quality and reliability.
- Follow security and privacy best practices, including PII protection, authentication, authorization, and secrets management.
- Collaborate with AI engineers, data engineers, and product teams to deliver scalable solutions.
- Document technical components, troubleshoot production issues, and contribute to reusable libraries and engineering best practices.

Required Qualifications

- Bachelor's degree in Computer Science, Software Engineering, or a related discipline, or equivalent practical experience.
- 4+ years of professional software engineering experience , with strong backend and full-stack development capabilities.
- Proficiency in Python and/or TypeScript/JavaScript with Node.js.
- Experience developing user-facing applications using React, Next.js, or similar frontend frameworks.
- Strong understanding of REST APIs, backend services, and application integration.
- Hands-on experience with LLM APIs such as OpenAI, Anthropic Claude, or Google Gemini, including prompt engineering and tool/function calling.
- Working knowledge of RAG architectures, embedding models, vector databases, and frameworks such as LangChain, LangGraph, or LlamaIndex.
- Experience with SQL, data pipelines, and data platforms such as Snowflake, Databricks, or dbt.
- Familiarity with Git, CI/CD pipelines, Docker, and cloud platforms such as AWS, Azure, or GCP.
- Experience using AI-assisted development tools such as GitHub Copilot, Cursor, Claude Code, or Windsurf.
- Strong analytical, problem-solving, communication, and collaboration skills.

Good to Have

- Experience with MCP and agent development frameworks such as OpenAI Agents SDK, Claude Agent SDK, CrewAI, or AutoGen.
- Exposure to knowledge graphs, ontologies, and semantic technologies such as Neo4j, RDF/SPARQL, or Snowflake Semantic Views.
- Familiarity with LLM evaluation and observability tools such as LangSmith, Langfuse, or Ragas.
- Understanding of authentication and authorization standards, including OAuth 2.0 and OpenID Connect (OIDC).
- Experience with automated testing, application monitoring, distributed systems, and production troubleshooting.
- Contributions to personal AI projects, hackathons, or open-source initiatives involving LLMs, AI agents, or RAG.

What We Offer

- Opportunities to build production-grade Generative AI and agentic AI solutions.
- Exposure to modern AI engineering frameworks, enterprise data platforms, and cloud technologies.
- A collaborative engineering environment focused on innovation, learning, and technical excellence.
- Opportunities to work on impactful projects for global enterprise clients.
- Continuous learning and professional development in emerging AI technologies.
Join Anblicks and help build the next generation of intelligent enterprise applications.