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AI Engineer

Ashwani & Associates

Talent Suite Job

Experience

4-6 Years

Salary

Confidential

Location

Haryana-Gurugram, Punjab-Ludhiana

Posted - 45 days ago

Applications - 5

Vacancies- 1

Apply Now

Top Hiring Companies

Join the Ashwani & Associates team as a Full Time AI Engineer on Erekrut, specializing in AI Engineer in the IT Services and consulting industry. We are seeking talented individuals with a passion for IT Services and educational qualifications ranging from 4-6 Years. Apply now on Erekrut to take the next step in your career with a leading global company.

Job Description

Job Title: AI Engineer – AI Compliance Platform

Employment Type: Full-time

Experience: 3–6 years preferred

Location: Ludhiana / Gurugram

Compensation: Open and negotiable based on experience and fit

About the Role

We are building an early-stage AI-powered product that helps businesses manage legal and regulatory compliance more effectively.

The first version of the platform is already live. Our next phase is focused on making its AI systems significantly more reliable, measurable and production-ready.

We are looking for an AI Engineer who can take ownership of the intelligence layer of the product—from evaluation and experimentation to production monitoring and continuous improvement.

A core part of this role is evaluation-driven development: defining what good looks like, building evaluation systems, identifying failure modes and using measurable signals to systematically improve AI performance.

This role is suited to someone who enjoys turning promising AI prototypes into dependable products that users can trust.

What You’ll Work On

Design and maintain evaluation frameworks for AI-generated outputs
Define quality metrics, acceptance criteria and benchmark datasets
Build automated and human-reviewed evaluation pipelines
Identify, categorise and analyse AI failure modes
Use evaluation results to improve prompts, retrieval, workflows and model selection
Design and improve agentic and multi-step LLM workflows
Build reliable RAG pipelines for legal and compliance information
Improve document ingestion, chunking, indexing, retrieval, reranking and grounding
Develop citation, source-traceability and answer-verification mechanisms
Design human-in-the-loop workflows for review, correction and escalation
Implement guardrails for hallucinations, unsupported conclusions and unsafe outputs
Monitor production AI performance, cost, latency and reliability
Conduct model and prompt experiments using measurable comparisons
Collaborate with Full Stack and UX/UI team members to turn AI capabilities into intuitive product experiences
Contribute to technical and product decisions across the platform

What We’re Looking For

Strong practical experience building applications using large language models
Experience developing and evaluating RAG or retrieval-based systems
Understanding of embeddings, vector search, reranking and information retrieval
Experience designing prompts and structured LLM workflows
Ability to define measurable quality standards for non-deterministic AI systems
Proficiency in Python and experience working with APIs
Familiarity with evaluation datasets, test cases and experiment tracking
Understanding of hallucination, grounding, context management and model limitations
Ability to diagnose AI failures and translate findings into systematic improvements
Strong analytical thinking and attention to detail
Comfort working in an early-stage environment where requirements may evolve
A strong sense of ownership and accountability for production outcomes

Good to Have

Experience with LLM evaluation frameworks or custom evaluation infrastructure
Familiarity with agent frameworks and tool-calling systems
Experience with hybrid search, metadata filtering and knowledge graphs
Knowledge of document parsing, OCR and unstructured-data pipelines
Experience building human feedback and review systems
Familiarity with PostgreSQL and vector databases
Experience with AI observability, tracing and production monitoring
Understanding of model routing, caching, latency and cost optimisation
Experience working with legal, regulatory or other high-accuracy domains
Familiarity with cloud infrastructure, Docker and CI/CD pipelines
Experience designing AI systems that handle sensitive or confidential information

How We Work

Our team believes in deep ownership with intentional overlap across AI, Full Stack and UX/UI.

You will own the AI layer deeply while thinking about the product as a whole. We value engineers who consider not only whether an AI workflow works in a demonstration, but also whether it is measurable, explainable, maintainable and dependable in real-world use.

We prefer evidence over intuition. Improvements should be supported by evaluations, experiments and production signals wherever possible.

What Success Looks Like

Within the first few months, you should be able to:

Understand the existing AI architecture and its key failure modes
Define clear quality metrics for the product’s important AI workflows
Establish a repeatable evaluation and regression-testing process
Build benchmark datasets representing real compliance use cases
Improve the accuracy, grounding and consistency of AI-generated outputs
Reduce unsupported answers and improve source traceability
Strengthen the reliability of retrieval and agentic workflows
Introduce effective production monitoring for quality, latency and cost
Independently own AI improvements from hypothesis to production validation

Why Join Us?

Work on a high-impact AI product addressing a real and complex business problem
Solve challenging problems involving accuracy, trust and explainability
Join at an early stage and directly influence the product and AI architecture
Build production AI systems rather than isolated prototypes
Take meaningful ownership of evaluation, reliability and continuous improvement
Grow with the company as the product and AI team expand

Compensation

Compensation is open and will be determined based on experience, technical ability and overall fit.

Designation

AI Engineer

Key Skills

Agentic AI DevelopmentAI AgentsAI EvaluationAI GuardrailsAI ObservabilityAPI IntegrationArtificial Intelligence (AI)CI/CD PipelineCloud Infrastructure KnowledgeDockerEmbeddings & Vector Databases KnowledgeGenerative AIInformation RetrievalLarge Language Models (LLMs)LLM EvaluationMachine LearningNatural Language Processing (NLP)PostgreSQLPrompt EngineeringPython

Industry

IT Services and Consulting

Functional Area

IT Services

Employment Type

Full Time

Education

Graduation/Diploma

Job Type

Work From Office

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