
Artificial Intelligence Engineer
2 weeks ago
Location: Bangalore (Work from Office preferred, Hybrid possible)
Duration: 60 days (early completion acceptable)
Engagement Type: Contract (Freelancers welcome)
Compensation: ₹40,000 – ₹80,000 (for the complete 2-month contract or for finishing the assigned deliverables)
We are seeking highly skilled Senior AI Engineers to work on advanced Retrieval-Augmented Generation (RAG) , Natural Language Processing (NLP) , and Large Language Model (LLM) projects. The engagement requires building, integrating, and optimizing multilingual AI pipelines with a focus on low-latency, production-ready deployments.
This is a time-bound contract — the faster you deliver, the sooner you complete the engagement while receiving the full contract payment.
Core AI/ML Skills
- NLP & IR Expertise :
- 3–8+ years in Natural Language Processing and Information Retrieval .
- At least 2 years in production-grade RAG implementation.
- Strong knowledge of chunking strategies, embeddings, retrieval pipelines, and reranking.
- Vector Search & Rerankers :
- Experience with pgvector , Milvus , FAISS , or similar vector databases.
- Implementation of cross-encoder/biencoder rerankers for improved retrieval accuracy.
- LLM Serving & Integration :
- Hands-on with Transformers and Hugging Face ecosystem.
- Experience with LLM inference frameworks (vLLM , Text Generation Inference (TGI) ).
- Ability to design streaming prompt patterns, function-calling workflows, and structured JSON outputs.
- Integration of ASR → NMT → LLM → TTS pipelines.
- Working with Indic language datasets and multilingual models.
- Familiarity with AI4Bharat stack: IndicConformer ASR, IndicTrans2 NMT, Indic Parler-TTS.
- Latency optimization for real-time conversational systems.
- Strong Python development skills (async patterns, streaming APIs).
- Experience building evaluation dashboards (latency tracking, WER/CER, containment, factuality).
- CI/CD and containerization (Docker ).
- Version control (Git/GitHub ) and collaborative workflow.
- Safety guardrails for LLMs and prompt validation/unit testing.
- Prior CPaaS or voice/media streaming experience.
- Knowledge of ITU G.114 latency standards and MOS (Mean Opinion Score) evaluation.
- Immediate Joiners
- Payment : ₹40,000 – ₹80,000 total for the entire engagement (either for completing all deliverables in 60 days or earlier).
- Faster completion = same pay (if deliverables are met and approved).
- Work Mode : Preferably from our Bangalore office; hybrid arrangement possible.
- Freelancers welcome if they can commit to delivery timelines and quality standards.
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