Senior Applied AI Engineer

🕒 August 10

🇮🇳 India – Remote

⏰ Full Time

🟠 Senior

🤖 AI Engineer

👻 Ghost score 21%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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phData

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2014

💼 Consulting

🏥 Healthcare

🏭 Manufacturing

💰 $2.5M Seed Round on 2018-03

Consulting • Healthcare • Manufacturing

phData is a company specializing in providing data engineering, analytics, and cloud migration solutions. They offer services including AI and machine learning strategies, analytics and visualization, and elastic operations to help businesses build and operationalize modern data products and applications. phData is an elite partner of Snowflake and provides end-to-end consulting for developing modern data applications and processing vast datasets efficiently. They cater to industries such as healthcare, financial services, and manufacturing by optimizing data platforms and delivering actionable insights using cutting-edge technology and expertise.

📋 Description

• Build and operationalize end-to-end agentic AI solutions, including RAG pipelines, multi-agent workflows, and human-in-the-loop steps, for enterprise clients • Translate solution designs and business requirements into clean, well-tested production-grade code • Build reliable, scalable, secure, observable, evaluated, and guarded production-grade agents • Deliver engagements on time, within scope, and with measurable business value • Contribute to reusable agentic accelerators and reference implementations • Help establish engineering patterns, tooling, and ways of working for the India delivery center • Collaborate with forward-deployed engineers, data engineers, platform/DevOps engineers, and business stakeholders • Ensure deliverable quality through code reviews, technical documentation, automated testing, and security and governance standards • Partner with practice and account leaders to expand engagements and standardize AI deployment approaches • Contribute to IP development, architectures, templates, playbooks, and colleague training • Represent phData professionally with technical and non-technical stakeholders

🎯 Requirements

• 4+ years of experience in AI/ML engineering, software engineering, or data engineering roles building and deploying AI/ML solutions to production • Recent hands-on experience with LLM-powered or agentic applications • Understanding of LLMs, agentic architectures, RAG, prompt design, context engineering, and tool/function calling • Experience with LangChain, LlamaIndex, multi-agent patterns, memory, planning, and protocols such as MCP • Experience designing evaluation, guardrail, and observability strategies for LLM and agent systems • Hands-on experience with modern programming languages such as Python, including API development • Deep expertise in cloud-native AI/ML platforms such as AWS Bedrock, SageMaker, Azure AI/ML, and Snowflake Cortex • Complete software development lifecycle experience • Demonstrated use of AI-assisted development tooling • Strong working knowledge of SQL, including complex and distributed query writing, debugging, and optimization • Experience delivering projects for external or internal clients in professional services, product, or consulting environments • Ability to break down complex problems into actionable steps, ideally in a fixed-bid capacity • Strong written and verbal communication skills in English • Proven experience presenting solutions and working directly with clients • Ability to work effectively with distributed cross-functional teams across the US, LATAM, and India • Track record of ownership, managing multiple priorities, and delivering high-quality work with minimal supervision • Comfort working in client environments and adapting solutions to existing architectures and processes • Bachelor’s degree in Computer Engineering, Computer Science, or a related technical field, or equivalent practical experience preferred • Preferred: reusable accelerators, modular codebases, or multi-client products experience • Preferred: AI/ML industry experience in life sciences, retail, financial services, or manufacturing • Preferred: global or remote team experience • Preferred: open source, technical community, speaking, or technical writing contributions • Master’s or other advanced degree is a plus

🏖️ Benefits

• Remote-First Workplace • Medical Insurance for Self & Family • Medical Insurance for Parents • Term Life & Personal Accident • Wellness Allowance • Broadband Reimbursement • Continuous learning and growth opportunities to enhance your skills and expertise • Paid certifications • Professional development allowance • Bonuses for creating for company-approved content • Challenging projects, mentorship, and structured development pathways • Supportive, high-performing global team • Transparency, autonomy, and continuous improvement