Job Description

We're building production-grade AI systems that require not just machine learning knowledge, but solid software engineering foundations. We need interns who can write clean, efficient, maintainable Python code, and leverage it to build intelligent systems with LLMs, RAG pipelines, and agentic workflows. You'll work on production AI systems where Python proficiency directly impacts quality. This isn't about learning Python on the job it's about applying strong Python fundamentals to build AI applications at scale.

Responsibilities:

- - Build and optimize RAG systems for enterprise data processing and retrieval
- Design agentic workflows using LangChain & LangGraph for automated decision-making
- Develop Flask/FastAPI backends that integrate LLM capabilities into business processes
- Write clean, effective, production-grade Python code that scales across high-volume transactions
- Optimize costs (LLM API calls, embeddings, compute) while maintaining accuracy
- Debug complex multi-step AI pipelines in production environments
- Implement caching strategies, error handling, and graceful degradation
- Monitor system performance and reduce latency bottlenecks

Top Non-Negotiable Skills:

- - Object-Oriented Programming: abstract classes, decorators, inheritance, SOLID principles
- Async/Await: understand concurrent vs. sequential execution, asyncio patterns
- Data Structures: arrays, linked lists, stacks, queues, heaps, graphs (can implement from scratch)
- Algorithm Optimization: write efficient solutions, analyze Big O complexity, recognize when O(n²) should be O(n log n)
- Error Handling: try/except best practices, logging (not just print statements)
- Can solve DSA problems optimally (not just getting them to work)
- Understand complexity trade-offs and implement accordingly
- Familiar with: binary search, DFS/BFS, quicksort/mergesort, dynamic programming, memoization
- LangChain: LCEL (chaining components), prompts, models, parsers, output validation
- LangGraph:



state management (immutable patterns), nodes, conditional routing, agentic loops
- RAG Fundamentals: document chunking, embeddings, vector similarity, retrieval pipelines
- Production Mindset: caching, monitoring, error handling, cost optimization
- Proper testing, logging, git workflows.

Negotiable Skills:

- - Vector databases (Pinecone, FAISS, Chroma, Weaviate)
- Fine-tuning experience (LoRA, PEFT, quantization)
- MLOps tools (MLflow, Weights & Biases)
- Graph databases (Neo4j) and knowledge graphs
- Cloud platforms (GCP)
- Deployed AI projects in production
- Specific domain knowledge (finance, healthcare, etc.)
- Multiple programming languages

About Techolution:

Techolution is the world’s leading FEA – Full Enterprise Automation specialist. We are trusted by boards and executive leaders who need AI with real business outcomes. Despite Gen AI, LLMs, and billions in investment, most enterprise AI programs aren’t delivering results. Techolution fixes that with BPA 4.0. We take the power of big Tech’s Generic AI and multiply it with our Expert AI stack — resulting in business process automations that follow the same nuances as domain experts do on the job at an unprecedented speed. Our platform has delivered over $900M in AI ROI for our clients in less than a year, all while increasing their AI Adoption by 10x.

What We Do

As your one-stop shop engineering firm, Techolution guides you from ideation to ROI realization. We ensure real-world AI success by minimizing R&D; risks for our clients with our innovative fixed-bid pricing model.

Our 3 Power Moves for ROI from AI

- Value Finder: We identify high-impact AI and automation opportunities in enterprises and build solutions that deliver measurable value in as little as 30 days.
- 100K Challenge: Work on fast-paced AI initiatives where teams build solutions designed to generate 2× ROI within 100 days.
- GE LEAP: Contribute to enterprise AI transformation through our partnership with Google, helping scale Gemini-driven solutions across organizations.

📌 Python AI Intern (Hyderabad)
🏢 Techolution
📍 Hyderabad