Applied AI Engineer

Aiotrix Private Limited; Mangaluru; On-site; INR 1,200,000 - 1,600,000; Full time

Job summary

Aiotrix Private Limited in Mangaluru is seeking an Applied AI Engineer to transform AI capabilities into dependable production systems. The role focuses on model behavior, prompt optimization, and evaluation pipelines.

You will enhance AI reliability and collaborate with engineering teams to create innovative AI features. A strong background in Python and experience with LLM APIs are essential for this role.

Qualifications

• 5+ years of software engineering experience with Python.
• Hands-on experience building with LLM APIs and AI assistants.
• Strong understanding of cloud-based application development.

Responsibilities

• Design and implement LLM-powered capabilities.
• Build retrieval-augmented generation pipelines.
• Collaborate with engineers to integrate AI capabilities.

Skills

Software engineering experience with Python

Building LLM APIs

Understanding of APIs and cloud-based development

Experience with model adaptation workflows

Ability to write clean, testable code

Education

Bachelor's degree in Computer Science or related field

Tools

Python

LangChain

Elasticsearch

Job description

• Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Engineering, or a related field, or equivalent practical experience.
• 5+ years of software engineering experience with Python.
• Hands-on experience building with LLM APIs, AI assistants, RAG pipelines, evaluation systems, model adaptation workflows, or AI-powered product features.
• Strong understanding of APIs, backend services, JSON, databases, authentication, permissions, and cloud-based application development.
• Comfortable writing clean, testable code, reviewing architecture, debugging production issues, and working with Git-based development workflows.
• Ability to move from prototype to production while thinking about reliability, security, observability, user experience, and operational cost.
• Curiosity for emerging AI systems and the engineering discipline to turn AI experiments into dependable product capabilities.

Job Description:

As an Applied AI Engineer at Aiotrix, you will turn modern AI capabilities into dependable production systems. This role focuses on model behavior, prompt optimization, RAG and context retrieval, evaluation pipelines, fine-tuning workflows, and measurable AI quality.

You will work on the intelligence layer behind ART and Aiotrix products: selecting model strategies, improving outputs, grounding responses in the right context, evaluating regressions, and making AI systems reliable enough for real users.

Responsibilities:

• Design and implement LLM-powered capabilities with strong focus on prompt optimization, structured outputs, grounding, model selection, and quality evaluation.
• Build retrieval-augmented generation pipelines using embeddings, vector databases, chunking strategies, reranking, metadata filtering, and relevance evaluation.
• Create context retrieval and memory strategies, including session context, task history, document grounding, vector retrieval, and context compression.
• Design evaluation pipelines for AI systems, including golden datasets, test cases, trace analysis, regression checks, hallucination checks, task completion metrics, and quality scoring.
• Develop fine-tuning or model adaptation workflows where appropriate, including dataset preparation, labeling strategy, experiment tracking, and performance comparison.
• Improve AI reliability through validation layers, output schemas, prompt tests, fallback strategies, guardrails, and human review loops.
• Analyze production AI behavior using logs, traces, user feedback, latency, cost, errors, and output quality metrics.
• Collaborate with backend, product, workflow, and systems engineers to integrate applied AI capabilities into production applications.
• Document model decisions, prompts, retrieval strategy, evaluation methodology, known limitations, and deployment behavior clearly.

Preferred qualifications:

• Experience building production software with Python, backend services, APIs, and cloud-based systems.
• Hands-on experience with LLM APIs, structured outputs, RAG, prompt design, model evaluation, and production AI behavior analysis.
• Experience with LangChain, LlamaIndex, retrieval systems, evaluation frameworks, experiment tracking, or model adaptation workflows.
• Understanding of embeddings, chunking, reranking, metadata filtering, semantic search, context windows, and retrieval quality trade-offs.
• Experience with vector databases or retrieval systems such as pgvector, Qdrant, Pinecone, Weaviate, Milvus, Chroma, Elasticsearch, or similar tools.
• Familiarity with AI evaluation, hallucination testing, output validation, prompt regression, and production monitoring.
• Ability to reason about model reliability, retrieval quality, grounding, data quality, latency, cost, and safe AI behavior.
• Strong product thinking and the ability to convert model capabilities into practical AI features for users and teams.

If interested please fill the below details and apply

Be sure to include an updated resume DOC, DOCX, PDF (2MB)

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