AI Engineer

Beghou Consulting

. Build and ship AI features for document understanding, structured extraction, and review workflows .

Posted 10/23/2026full-timePune • IndiaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and shipping AI features for document understanding and structured extraction, with strong proficiency in Python and experience in developing production services and data pipelines. Capable of evaluating model outputs and improving AI workflows through collaboration with cross-functional teams and effective monitoring of quality and performance.

Highest-signal resume keywords

Applied AI DevelopmentPython ProgrammingDocument AI ExperienceModel Evaluation TechniquesProduction Monitoring

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Applicant Tracking System Keywords

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Hard Skills

AI Feature DevelopmentData Pipeline ConstructionModel EvaluationStructured Output TechniquesSoftware Engineering Fundamentals

Soft Skills

Good JudgmentProblem-SolvingClear Communication

Tools & Technologies

FastAPIPostgreSQLCloud InfrastructureHuman-in-the-Loop Systems

Industry Keywords

Document UnderstandingInformation ExtractionOCRData HandlingProduction Monitoring

Tech Stack

Tools & technologies

CloudPostgresPython

About the role

Key responsibilities & impact

Build and ship AI features for document understanding, structured extraction, and review workflows
Develop reliable pipelines that combine language models with application logic, validation, and human review
Design evaluations using representative examples, labeled data, and clear quality measures
Improve output quality through prompting, retrieval, model selection, and structured generation
Build safeguards for uncertain, incomplete, or conflicting inputs
Partner with product, design, and domain experts to turn workflow needs into useful AI capabilities
Work with engineers to integrate AI services into APIs, background jobs, and customer-facing applications
Monitor quality, latency, and cost in production, and use the results to guide improvements
Document system behavior, limitations, and operational considerations

Requirements

What you’ll need

5–8 years of engineering experience, including hands-on work building and shipping applied AI or machine learning products
Experience using language models for practical product workflows
Strong Python skills and experience building production services or data pipelines
Experience evaluating model outputs with measurable criteria, not just anecdotal review
Familiarity with structured outputs, tool use, retrieval, and validation techniques
Good judgment about model uncertainty and when a workflow should require human review
Ability to work with ambiguous problems and explain technical trade-offs clearly
Strong software engineering fundamentals, including testing, observability, and maintainable design
Helpful experience with Document AI, information extraction, OCR, or converting unstructured business documents into structured data
Helpful experience with LLM evaluation, dataset curation, human-in-the-loop systems, and regression testing
Helpful experience with FastAPI, PostgreSQL, cloud infrastructure, and background processing
Familiarity with privacy, data handling, and production monitoring for AI features

Benefits

Comp & perks

Highly collaborative, values-driven team
Personal growth opportunities