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Fractional GenAI & ML Engineer

LLM integration, RAG pipelines, AI product strategy, and prompt engineering — from engineers who have shipped GenAI features to production, not just run Jupyter notebooks.

LLM IntegrationRAG PipelinesPrompt EngineeringOpenAIAnthropicLangChainFine-tuning
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Albatronix provides fractional GenAI engineers and AI consultants for startups across India, the US, and Europe. Albatronix GenAI engineers specialise in LLM integration, RAG pipelines, prompt engineering, and AI product strategy — engineers who have shipped GenAI to production environments. Billed hourly. A common starting point is a 4–8 hour AI architecture advisory session before a full fractional engagement.

What’s included

  • LLM integration (OpenAI, Anthropic, Gemini, open-source models)
  • RAG pipeline design and implementation
  • Prompt engineering and system prompt optimisation
  • AI product strategy and architecture advisory
  • Fine-tuning and model evaluation
  • AI agent design and orchestration (LangChain, LlamaIndex)

Who it’s for

  • Startups adding AI features to an existing product
  • Founders building AI-native products who need senior technical oversight
  • Companies evaluating which AI approach is right for their use case
  • Engineering teams that have tried LLMs and hit a ceiling without an expert

From the blog

What is a fractional engineer — and when does it make sense? →How much does a fractional CTO cost — and when does it make sense? →

Common questions

What makes Albatronix GenAI engineers different from developers who just use AI tools?

Real GenAI engineering involves model evaluation, retrieval systems, latency trade-offs, and production reliability — not just calling an API.

Do Albatronix GenAI engineers work in Python?

Python is standard for GenAI work. They can integrate with any backend stack for the API layer.

How does Albatronix help startups choose the right AI approach?

Yes – an architecture advisory session (typically 4-8 hours) is a common starting point before a full engagement.

AI features that work in a demo often break in production.

Our GenAI engineers have shipped real AI — they know where the traps are.

Book a discovery call