AI Engineer

We are seeking a Senior AI Engineer with deep experience building production-grade AI solutions using Claude, combined with a strong background in data engineering and modern data platforms, including Databricks., * Build integrations that allow Claude-based applications to securely interact with enterprise data, APIs, applications, and business processes.

• Implement retrieval-augmented generation (RAG) architectures using structured and unstructured enterprise data.
• Develop evaluation frameworks to measure AI solution quality, accuracy, reliability, and business effectiveness.
• Implement AI guardrails, observability, exception handling, security, and responsible AI practices.
• Optimize AI solutions for performance, reliability, scalability, and cost.
• Evaluate emerging AI patterns and determine where they provide practical business value versus unnecessary complexity., * Design and develop data pipelines supporting AI, analytics, and machine learning workloads.
• Build scalable data solutions using Databricks, Spark, PySpark, Python, SQL, and Delta Lake.
• Prepare structured and unstructured enterprise data for use by LLM and AI applications.
• Design ingestion, transformation, enrichment, chunking, metadata, and retrieval processes supporting RAG and agentic AI solutions.
• Work with Unity Catalog and enterprise governance frameworks to ensure AI solutions use governed, secure, and traceable data.
• Integrate AI applications with lakehouse, data warehouse, API, document, and operational data sources.
• Apply data quality, lineage, metadata, access control, and data governance standards to AI solutions.

Architecture & Production Engineering

• Define technical architectures for enterprise AI solutions from data ingestion through model interaction and application delivery.
• Make architecture decisions across LLMs, data platforms, retrieval technologies, APIs, orchestration frameworks, and cloud services.
• Design reusable AI services, frameworks, APIs, and components that can support multiple business use cases.
• Establish development, testing, evaluation, deployment, and monitoring patterns for production AI applications.
• Participate in architecture and code reviews and mentor other engineers in AI and data engineering practices.
• Work directly with business, data, architecture, security, governance, and engineering teams to translate business problems into implementable AI solutions., Can take an ambiguous business problem, define an appropriate AI architecture, make pragmatic technology decisions, and personally build the most critical components.

The right candidate should be able to design an AI solution around Claude, understand how the underlying enterprise data needs to be structured and governed in Databricks, and then be hands-on enough to build the solution.

Equal Employment Opportunity Statement

Techstra Solutions is an equal opportunity employer. The Company makes its decisions on merit, and its policy of equal opportunity prohibits discrimination in all phases of the employment process, including, but not limited to, recruitment, hiring, promotion, selection, transfer, demotion, layoff, termination, compensation, benefits, and other terms and conditions of employment. The policy of equal opportunity applies without regard to race, color, creed, religion, gender, sexual orientation, gender identification, pregnancy, marital status, national origin, ancestry, age, disability that can reasonably be accommodated without undue hardship, military status, veteran status, genetic predisposition or carrier status, alienage or citizenship, domestic partnership status, arrest or conviction record, status as a victim of domestic violence, or any other protected categories under federal, state, or local law. The Company also prohibits discrimination or harassment based upon the perception that a person has, or is associated with a person who has, any of these characteristics.

Candidate Data Privacy and Use: Techstra Solutions respects the privacy of our candidates. By submitting your application, you acknowledge that Techstra Solutions may collect, store, and process the information you provide for recruiting, candidate evaluation, and consideration for current or future opportunities. Techstra may use applicant tracking systems, analytics, automation, and AI-assisted tools to support these activities. Candidate information will be protected using appropriate safeguards and retained or deleted in accordance with applicable law and Techstra’s data retention practices. Share

• 8+ years of software, data engineering, analytics engineering, or related technology experience, with significant recent experience building AI/ML or GenAI solutions.
• Demonstrated, hands-on experience developing applications using Anthropic Claude.
• Strong experience integrating commercial LLMs through APIs into production applications.
• Experience developing RAG, agentic AI, tool-calling, or LLM-based enterprise applications.
• Strong programming experience with Python.
• Significant data engineering experience, including:
• Databricks
• Apache Spark / PySpark
• SQL
• Delta Lake
• ETL / ELT
• Data pipelines and integration
• Experience designing solutions that combine LLMs with enterprise data.
• Understanding of embeddings, vector search, semantic retrieval, context management, and document processing.
• Experience with API development and application/system integration.
• Strong understanding of data governance, data quality, metadata, lineage, security, and access controls.
• Experience with cloud platforms such as Azure, AWS, or Google Cloud.
• Experience implementing CI/CD and modern software engineering practices.
• Ability to independently take a complex AI use case from concept and architecture through working production implementation., * Experience with Claude Code in software engineering and development workflows.
• Experience with Model Context Protocol (MCP) and tool-enabled/agentic architectures.
• Experience with Databricks Unity Catalog and governed enterprise data environments.
• Experience building AI applications against large enterprise data estates.
• Experience with vector databases/vector search, embeddings, document processing, and semantic search.
• Experience modernizing traditional analytics or data platforms to support AI use cases.
• Familiarity with MLflow or similar model/application lifecycle and evaluation capabilities.
• Experience with Azure DevOps, GitHub, or comparable CI/CD platforms.
• Experience implementing AI governance, security, evaluation, and monitoring standards.

Invitation for Job Applicants to Self-Identify as a U.S. Veteran

• A “disabled veteran” is one of the following:
• a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or
• a person who was discharged or released from active duty because of a service-connected disability.
• A “recently separated veteran” means any veteran during the three-year period beginning on the date of such veteran’s discharge or release from active duty in the U.S. military, ground, naval, or air service.
• An “active duty wartime or campaign badge veteran” means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense.
• An “Armed forces service medal veteran” means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985.