CrawlJobs Logo

Platform Lead - AI Engineer

helpcare.ai Logo

Helpcare AI

Location Icon

Location:
India

Category Icon

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

Not provided

Job Description:

About the role: Storylane has been crushing it since we launched in 2021 (3.5x revenue growth in 2023, 2.5x in 2024). In 2025, we scaled to $10M ARR and 4,000 customers, and we’re building fast with a lean, remote team. We've got Gong, Amazon, Microsoft, NASDAQ, and other major players using our demo automation platform.

Job Responsibility:

As platform lead, you'll be go-to-person for all things with AI in platform - Demos Suite & RepX

Requirements:

  • Have a strong background in computer science with a degree in CS or a related field
  • Minimum 5+ years of experience in backend systems
  • Proficient with Python, AWS, Agents
  • Have systems level knowledge
  • Solid understanding of how to deliver complex backend applications considering performance, design and scale
  • Communicate updates or solutions clearly to customers, product leads and teammates

Additional Information:

Job Posted:
May 16, 2026

Employment Type:
Fulltime
Work Type:
Remote work
Job Link Share:

Looking for more opportunities? Search for other job offers that match your skills and interests.

Briefcase Icon

Similar Jobs for Platform Lead - AI Engineer

AI Platform Lead

A rapidly growing tech company is seeking an AI Platform Lead to architect and s...
Location
Location
United Kingdom , London
Salary
Salary:
100000.00 GBP / Year
formularecruitment.co.uk Logo
Formula Recruitment
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ years’ experience building AI/ML platforms, LLM services, or ML infrastructure
  • Hands-on expertise with modern LLM frameworks—RAG, agents, prompt engineering, fine-tuning
  • Strong systems thinking and experience integrating AI into complex platforms
  • Product awareness and the ability to work across teams in a fast-moving environment
Job Responsibility
Job Responsibility
  • Architect and scale the core infrastructure powering their AI-driven modelling platform
  • Blend deep ML infrastructure expertise with strong systems thinking and product intuition
  • Work closely with engineering, product, and domain specialists to define how AI is integrated into the platform
  • Building LLM-backed agents, features, and developer-facing tools that deliver real value to end users
What we offer
What we offer
  • Bonus
  • Flexible hybrid working from a London office
  • Generous time off and modern workspace perks
  • Pension contributions
  • Equity options and the chance to grow with the company
  • Fulltime
Read More
Arrow Right

Senior Platform Engineer - CI/CD & AI Automation (AI-first)

Groupon is undergoing a critical platform transformation, modernizing its core d...
Location
Location
Czechia , Prague
Salary
Salary:
Not provided
groupon.com Logo
Groupon
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ years of dedicated experience in Platform Engineering, DevOps, or Infrastructure roles
  • Deep expertise building, scaling, and migrating CI/CD systems, with strong practical experience in Jenkins and/or GitHub Actions
  • Expertise in scripting and automation (Python, Go, or Bash)
  • Solid understanding of container technologies, Kubernetes, and cloud build systems
  • Proven experience leveraging AI tooling (e.g., Claude Code, code analysis) to meaningfully increase developer output and optimize platform work
  • Excellent communication and ability to drive technical decisions across multiple platform and product teams
Job Responsibility
Job Responsibility
  • Platform Transformation: Lead the design, planning, and execution of the Jenkins-to-GitHub Actions migration across a large portfolio of microservices
  • Pipeline Engineering: Design and optimize high-performance, secure, and observable CI/CD workflows across GitHub Actions, Jenkins, and Kubernetes environments
  • AI-First Automation: Drive an AI-First workflow by leveraging tools (e.g., Copilot, code generation) to eliminate infrastructure toil, accelerate development, and analyze pipeline failures
  • Core Automation: Develop robust platform automation (e.g., Python, Go, Bash) to improve build efficiency, artifact caching, reliability, and repository hygiene
  • Security & Compliance: Harden CI/CD infrastructure with robust controls for secrets management, RBAC, audit logging, and secure runner design
  • Observability: Implement and enhance CI/CD observability using tools like Prometheus, Grafana, and OpenTelemetry to provide deep insights into performance and reliability
  • Technical Leadership: Mentor engineers and partner across Cloud, Security, and Developer Experience teams to define and evolve our end-to-end delivery platform architecture
Read More
Arrow Right

Senior Data Engineer – Data Engineering & AI Platforms

We are looking for a highly skilled Senior Data Engineer (L2) who can design, bu...
Location
Location
India , Chennai, Madurai, Coimbatore
Salary
Salary:
Not provided
optisolbusiness.com Logo
OptiSol Business Solutions
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Strong hands-on expertise in cloud ecosystems (Azure / AWS / GCP)
  • Excellent Python programming skills with data engineering libraries and frameworks
  • Advanced SQL capabilities including window functions, CTEs, and performance tuning
  • Solid understanding of distributed processing using Spark/PySpark
  • Experience designing and implementing scalable ETL/ELT workflows
  • Good understanding of data modeling concepts (dimensional, star, snowflake)
  • Familiarity with GenAI/LLM-based integration for data workflows
  • Experience working with Git, CI/CD, and Agile delivery frameworks
  • Strong communication skills for interacting with clients, stakeholders, and internal teams
Job Responsibility
Job Responsibility
  • Design, build, and maintain scalable ETL/ELT pipelines across cloud and big data platforms
  • Contribute to architectural discussions by translating business needs into data solutions spanning ingestion, transformation, and consumption layers
  • Work closely with solutioning and pre-sales teams for technical evaluations and client-facing discussions
  • Lead squads of L0/L1 engineers—ensuring delivery quality, mentoring, and guiding career growth
  • Develop cloud-native data engineering solutions using Python, SQL, PySpark, and modern data frameworks
  • Ensure data reliability, performance, and maintainability across the pipeline lifecycle—from development to deployment
  • Support long-term ODC/T&M projects by demonstrating expertise during technical discussions and interviews
  • Integrate emerging GenAI tools where applicable to enhance data enrichment, automation, and transformations
What we offer
What we offer
  • Opportunity to work at the intersection of Data Engineering, Cloud, and Generative AI
  • Hands-on exposure to modern data stacks and emerging AI technologies
  • Collaboration with experts across Data, AI/ML, and cloud practices
  • Access to structured learning, certifications, and leadership mentoring
  • Competitive compensation with fast-track career growth and visibility
  • Fulltime
Read More
Arrow Right

AI Lead Engineer

Lead Engineer role in HPE Hybrid Cloud focusing on AI innovation and technology ...
Location
Location
India , Bangalore
Salary
Salary:
Not provided
https://www.hpe.com/ Logo
Hewlett Packard Enterprise
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Experience designing and developing software systems design tools and languages in storage/server/networking area
  • Two or more years of experience in applying AI to practical and comprehensive technology solutions
  • Experience with ML, deep learning, TensorFlow, Python, NLP
  • Experience in program leadership, governance, and change enablement
  • Knowledge of basic algorithms, object-oriented and functional design principles, and best-practice patterns
  • Experience in REST API development, NoSQL database design, and RDBMS design and optimizations
  • Experience with innovation accelerators
  • Cloud Architectures
  • Cross Domain Knowledge
  • Design Thinking
Job Responsibility
Job Responsibility
  • Lead cross-functional teams in identifying and prioritizing key areas of a partner's business where AI solutions can drive significant business benefit
  • Design and develop solutions leveraging patterns in the data and metadata stored in Petabytes of Objects and Files in distributed fashion across enterprise storage platform
  • Design, develop, and deploy hybrid RAG architectures integrating LLMs with retrieval-based systems for improved relevance and contextual responses
  • Work on functional design, process design (including scenario design, flow mapping), prototyping, testing, training, and defining support procedures
  • Translating technical AI findings into clear, business-oriented language for non-technical stakeholders
  • Implement and manage pipelines that effectively combine retrieval mechanisms with generative capabilities
  • Develop custom plugins, adapters, or APIs to integrate retrieval systems with generative models
  • Fine-tune and optimize large language models
  • Monitor and troubleshoot issues within pipelines
  • Evaluate and benchmark the performance of vector databases
What we offer
What we offer
  • Health & Wellbeing benefits
  • Personal & Professional Development programs
  • Unconditional Inclusion environment
  • Fulltime
Read More
Arrow Right

Platform Engineer, Agent Collaboration Platform

Platform engineering at Hebbia is about excellent, scalable enablement. You are ...
Location
Location
United States , New York City; San Francisco
Salary
Salary:
160000.00 - 300000.00 USD / Year
hebbia.ai Logo
Hebbia
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field
  • 5+ years software development experience at a venture-backed startup or top technology firm, with a focus on distributed systems and platform engineering
  • Proficiency in building backend and distributed systems using technologies such as Python, Java, or Go
  • Deep understanding of scalable system design, performance optimization, and resilience engineering
  • Extensive experience with cloud platforms (e.g., AWS)
  • Working experience with one or more of the following: Kafka, ElasticSearch, PostgreSQL, and/or Redis
  • Knowledge of workflow orchestration and execution platforms like Airflow, Temporal or Prefect
  • Proven experience enabling observability patterns
  • Ability to analyze complex problems, propose innovative solutions, and effectively communicate technical concepts
  • Proven experience in leading software development projects and collaborating with cross-functional teams
Job Responsibility
Job Responsibility
  • Own critical system components: Take complex requirements and turn them into robust, scaled solutions that solve real customer needs
  • Unlock O(1) universal indexing: Build and iterate on our high-scale document build system that enables constant time latency for indexing any content in the world, regardless of data volume
  • Drive performance optimization: Architect and implement performance-tuning solutions to ensure our systems operate efficiently at scale, minimizing latency and maximizing throughput across millions of documents
  • Mentor and guide: Provide technical leadership, mentorship, and guidance to junior engineers, fostering a culture of learning and growth
What we offer
What we offer
  • PTO: Unlimited
  • Insurance: Medical + Dental + Vision + 401K
  • Eats: Catered lunch daily + doordash dinner credit if you ever need to stay late
  • Parental leave policy: 3 months non-birthing parent, 4 months for birthing parent
  • Fertility benefits: $15k lifetime benefit
  • New hire equity grant: competitive equity package with unmatched upside potential
  • Fulltime
Read More
Arrow Right

Technical Lead - Full-Stack AI Engineer - Private Equity SaaS

Our client, a cutting-edge SaaS platform for private equity and venture capital,...
Location
Location
United States , Chicago
Salary
Salary:
170000.00 - 200000.00 USD / Year
selbyjennings.com Logo
Selby Jennings
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 6+ years in full-stack development
  • Strong skills in Go, Python, Node.js, and modern frontend frameworks (React, Next.js.)
  • Hands-on with LLMs (OpenAI, Anthropic preferred) and vector search (Pinecone, pgvector.)
  • Experience deploying in cloud environments (AWS, Azure, GCP.)
  • Startup-ready: thrives in ambiguity and owns projects end-to-end while moving fast and not overthinking.
Job Responsibility
Job Responsibility
  • Build scalable full-stack applications integrating AI agents into a secure SaaS platform.
  • Develop and optimize LLM pipelines, prompts, and backend systems (Supabase, Postgres, vector DBs).
  • Architect APIs and microservices for data processing and retrieval.
  • Implement responsive, high-performance frontend interfaces for complex workflows.
  • Ensure compliance with SOC 2, GDPR, and SEC standards.
  • Collaborate with product and design teams to translate requirements into seamless user experiences.
What we offer
What we offer
  • equity
  • Fulltime
Read More
Arrow Right

Engineering Manager - Product & Platform

Arize AX is the AI & Agent Engineering Platform – one place to develop, evaluate...
Location
Location
United States
Salary
Salary:
180000.00 - 250000.00 USD / Year
arize.com Logo
Arize
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • You’ve been both an IC and a manager – you know what great engineering looks like at the system and code level, and you know how to build and lead teams
  • Strength across both product/fullstack engineering and backend/infrastructure – comfortable moving between customer-facing workflows and the systems that power them
  • Experience balancing people leadership, project execution, and technical depth
  • Clear, direct communicator who builds trust across teams
Job Responsibility
Job Responsibility
  • Contribute as an engineer on complex product and infrastructure challenges – building features that customers touch and scaling the systems behind them
  • Lead a team of engineers and tech leads – hiring, mentoring, and creating the conditions for them to do the best work of their careers
  • Drive projects end-to-end – ensuring scope is clear, trade-offs are well understood, and delivery is predictable
  • Work cross-functionally with Product and Design to set direction, and with Solutions and Support to make sure we’re solving the real problems our customers face in production
What we offer
What we offer
  • medical, dental, vision, 401(k) plan, unlimited paid time off, generous parental leave plan, others for mental and wellness support, competitive equity package, WFH monthly stipend to pay for co-working spaces
  • Fulltime
Read More
Arrow Right

Applied AI Engineer - AI Solutions

As an Applied AI Engineer, you’ll research and utilize state-of-the-art Gen AI a...
Location
Location
United States , Redwood City; San Francisco
Salary
Salary:
172000.00 - 300000.00 USD / Year
snorkel.ai Logo
Snorkel AI
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • B.S. degree in a quantitative field such as Computer Science, Engineering, Mathematics, Statistics, or comparable degree/experience
  • 3+ years of customer-facing experience in the design and implementation of AI/ML solutions
  • Proficiency in Python, including strong grounding in software engineering fundamentals (e.g., modular design, testing, profiling, packaging) and experience with modern Python constructs and libraries for type validation and typed data modeling (e.g., pydantic), building type-safe systems (e.g., mypy), testing (e.g., pytest), packaging and environment configuration (e.g., poetry), API and service frameworks (e.g., FastAPI), serialization and structured data handling (e.g., msgspec), and orchestration tooling relevant to ML deployment (e.g., Ray, Airflow)
  • Expertise across the Applied AI stack, spanning classical ML libraries (e.g., scikit-learn), deep learning frameworks (e.g., PyTorch), foundation-model ecosystems (e.g., Hugging Face Transformers), vector/embedding tooling (e.g., FAISS), data processing frameworks (e.g., pandas, Spark), retrieval/RAG tooling (e.g., Chroma, Weaviate), synthetic dataset curation, evaluation workflows, and LLM orchestration, workflow, agent authoring tools (e.g., LlamaIndex, LangGraph, CrewAI)
  • Experience leading strategic, customer-facing initiatives and collaborating with business stakeholders to ensure ML solutions drive successful business outcomes, with a strong focus on teaching and enablement
  • Outstanding presentation skills to technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos
  • Ability to work in a fast-paced environment and balance priorities across multiple projects at once
Job Responsibility
Job Responsibility
  • Partner with customers to build and deploy impactful Gen AI and machine learning solutions, from use case scoping and data exploration to model development and deployment. This may involve leveraging Snorkel Flow or designing custom approaches using state-of-the-art tools, with the goal of delivering real business value and informing the evolution of the Snorkel platform
  • Develop and implement state of the art AI systems such as retrieval-augmented generation (RAG), fine-tuning pipelines, prompt engineering recipes and agentic workflows
  • Create augmented real-world datasets and comprehensive evaluation workflows to ensure model reliability, transparency, and stakeholder trust. A data- and evaluation-first mindset is essential for success in this role
  • Forge and manage relationships with our customers’ leadership and stakeholders to ensure successful development and deployment of AI projects with Snorkel Flow
  • Collaborate closely with pre-sales Solutions and Product teams to map customer needs to existing capabilities, prioritize roadmap gaps, and guide successful project setup
  • Work with other Applied AI Engineers to standardize solutions and contribute to internal tooling and best practices
  • Lead stakeholder education on quantitative capabilities, helping them to understand the strengths and weaknesses of different approaches and what problems are best-suited for Snorkel AI
  • Serve as the voice of our customers for new AI paradigms, data science workflows, and share customer feedback to product teams
  • Conduct one-to-few and one-to-many enablement workshops to transfer knowledge to customers considering or already using Snorkel AI
  • Annual travel up to 25%
What we offer
What we offer
  • equity in the form of employee stock options
  • Fulltime
Read More
Arrow Right