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Senior AI engineer

dataSpecta

Vakansiya haqqında

About DataSpecta

DataSpecta is a Data & AI consulting and engineering company helping organizations transform data into measurable business value through advanced analytics, modern data platforms and enterprise AI solutions.

We design and deliver solutions across both on-premise and cloud environments, working closely with enterprise customers from discovery through production.

Alongside customer projects, we build our own AI products such as CogniSpecta (enterprise knowledge & cognitive search) and CodeSpecta (AI-powered software engineering).

We're looking for a Senior AI Engineer based in Baku, Azerbaijan, with strong software engineering fundamentals and proven experience delivering LLM applications and AI agents to production.

You will design, build and maintain AI agents, retrieval systems and document generation pipelines for an enterprise AI estate, and own root cause analysis on agent incidents.

Location & Work Model

Location: Baku, Azerbaijan
Work model: [Hybrid / On-site]

What You Will Work On

Tool-calling AI agents and agentic workflows
End-to-end RAG pipelines with citations
MCP servers and an internal AI Marketplace
On-premise and self-hosted LLM architectures

Responsibilities

Build tool-calling agents and multi-step workflows with human-in-the-loop checkpoints
Implement end-to-end retrieval pipelines, from parsing to reranking and citation
Integrate agents with SAP, SuccessFactors, email and internal APIs
Expose agent capabilities as MCP servers
Build template-based Word, Excel and PowerPoint generation
Own prompt versioning, production promotion and runbooks
Instrument agents with tracing and diagnose production failures

Required Qualifications

Based in Baku or willing to relocate
5+ years in software engineering, 2+ delivering LLM or agent systems to production
Expert Python; production experience with an agent orchestration framework
Production RAG experience with measured retrieval quality
Experience with LLM gateways or self-hosted models
Fluent English

Technical Skills

Core: Python, asyncio, FastAPI, Pydantic, pytest
Agent frameworks: LangGraph, LlamaIndex, Semantic Kernel or equivalent
Protocols: MCP, A2A, OpenAI-compatible APIs
Retrieval: Hybrid search, reranking, pgvector, Qdrant, OpenSearch
Document handling: PDF/DOCX/XLSX parsing, OCR, python-docx, openpyxl, python-pptx, Jinja2
Model serving: vLLM, TGI, Ollama, open-weight models
Integration: REST, OData, SAP, SuccessFactors, OAuth2/OIDC, Microsoft Graph
Delivery: Git, Docker, Helm, CI, OpenTelemetry, Langfuse, Arize Phoenix
Security: OWASP Top 10 for LLMs, prompt injection mitigation

Preferred Qualifications (a plus)

Regulated financial sector or on-premise/air-gapped delivery experience
Hands-on SAP or SuccessFactors integration
Open-source contributions in the agent ecosystem

What We Value

Curiosity about solving business problems with AI
Comfort across business, data and technology
End-to-end ownership
Continuous learning