Data Engineer and AI Specialist Job at Sithafal (Tirupati, Bangalore)

AI & Data Lead

We are seeking a highly skilled AI & Data Lead to spearhead our transformation i...

Location

United Kingdom , North West

Salary:

Not provided

Dynamic Search Solutions

Expiration Date

Until further notice

Requirements

Proven experience in a senior data/AI/analytics role (e.g., Data Lead, Analytics Lead, AI Specialist, BI Lead)
Strong background with Power BI, including DAX, modelling, governance, and enterprise deployments
Hands-on experience building AI and machine learning solutions using modern cloud tools (Azure preferred)
Strong understanding of data engineering concepts (ETL/ELT, pipelines, warehousing)
Ability to translate business challenges into technical AI/analytics solutions
Excellent stakeholder engagement and communication skills
Strategic thinker capable of setting direction and driving organisational change

Job Responsibility

Strategic Leadership & Planning Develop and own the company’s AI, analytics, and data strategy
Create a roadmap for moving from traditional BI to a modern, AI-augmented data ecosystem
Identify opportunities where AI, ML, and automation can drive measurable value
Act as a trusted advisor to senior leaders and departments regarding data, BI, and AI
Translate complex data and AI concepts into clear business language and use cases
Facilitate workshops, run discovery sessions, and guide teams on AI best practices
Build prototypes and production-level AI/ML solutions, such as predictive models, natural language interfaces, and automation workflows
Develop robust data models, pipelines, and integrations to ensure scalable AI adoption
Establish data governance standards, security controls, and compliance practices
Own data quality frameworks to ensure trusted reporting and model reliability

Data Scientist Specialist

We are seeking a highly experienced Data Scientist Specialist with deep expertis...

Location

United States , McLean

Salary:

Not provided

Apex Systems

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in AI, Data Science, Computer Science, or related field
Extensive experience in AI/ML, including 3+ years in applied GenAI or LLM-based solutions
Deep expertise in prompt engineering, fine-tuning, RAG, GraphRAG, vector databases, and multi-modal models
Proven experience with AWS cloud-native AI development (SageMaker, Bedrock, MLFlow/Kubeflow on EKS)
Strong programming skills in Python and ML/LLM libraries (Transformers, LangChain, etc.)
Strong understanding of GenAI system patterns, agentic architectures, evaluation frameworks, and guardrails
Demonstrated success working in cross-functional, agile teams
GitHub code repository link required for candidate evaluation

Job Responsibility

Architect and implement GenAI systems: Build scalable AI agents, agentic workflows, and GenAI applications for diverse business use cases
Model development & optimization: Fine-tune and optimize lightweight LLMs
evaluate and adapt models such as Claude (Anthropic), Azure OpenAI, and open-source alternatives
RAG & GraphRAG architectures: Design and deploy Retrieval-Augmented Generation (RAG) and GraphRAG systems using vector databases and enterprise knowledge bases
Enterprise data curation: Curate and prepare enterprise data using connectors integrated with AWS Bedrock Knowledge Bases and/or Elasticsearch
Agent interoperability: Implement solutions leveraging Model Context Protocol (MCP) and Agent-to-Agent (A2A) communication patterns
Experimentation & ML platforms: Build and maintain Jupyter-based notebooks using SageMaker, MLFlow, or Kubeflow on Kubernetes (EKS)
Cross-functional collaboration: Work with UI engineers, microservices teams, designers, and data engineers to deliver full-stack GenAI experiences
Enterprise integration: Integrate GenAI solutions with enterprise platforms via APIs and standardized GenAI architectural patterns
Evaluation & safety: Establish evaluation frameworks, bias mitigation strategies, safety protocols, and guardrails for production deployment

What we offer

medical
dental
vision
life
disability
other insurance plans
ESPP (employee stock purchase program)
401K program with company match after 12 months
HSA (Health Savings Account on the HDHP plan)
SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions

People Systems Engineer, Airtable Specialist

The Airtable People team is seeking a People Systems Engineer (Airtable Speciali...

Location

United States , San Francisco

Salary:

179000.00 - 232300.00 USD / Year

Airtable

Expiration Date

Until further notice

Requirements

5+ years in systems engineering, internal tools development, or technical operations
Experience leveraging AI to enhance systems and workflows
Proven experience building advanced Airtable solutions using interfaces, automations, and scripting
Skilled in scripting (JavaScript or Python) and integrating SaaS tools via APIs
Pragmatic problem solver who evaluates the right system or tool for the job
Familiarity with HR or People systems (e.g., Workday, Greenhouse, Slack, Google Workspace) preferred
Strong data modeling and systems design abilities
Excellent communication and documentation skills
A proactive, collaborative self-starter who thrives in fast-paced environments

Job Responsibility

Build, enhance, and maintain core People Airtable apps that support all aspects of the employee lifecycle
Design and architect new Airtable applications with AI and automation at the core
Use Airtable Interfaces, Automations, and Scripting to create clean, efficient, and data-rich user experiences
Develop and maintain automations, integrations, and data flows between Airtable and tools like Greenhouse, Workday, Slack, and Google Workspace
Evaluate and recommend alternative systems or tools when they better serve People team goals
Use scripting (JavaScript or Python) and APIs to connect systems and optimize recurring processes
Continuously monitor system performance, usability, and data accuracy
Partner with IT and cross-functional teams to align on architecture, data governance, and long-term tooling roadmap
Document technical logic and train stakeholders to use and maintain Airtable applications effectively

What we offer

Benefits
Restricted stock units
Incentive compensation

Fulltime

Ai Specialist

GoFundMe is looking for a dedicated Artificial Intelligence (AI) Specialist to j...

Location

Argentina , Buenos Aires

Salary:

Not provided

GoFundMe

Expiration Date

Until further notice

Requirements

Pursuing an M.S., or Ph.D. in Computer Science, Artificial Intelligence, NLP, Machine Learning, or a related discipline
Hands-on experience with LLMs and/or agent frameworks (LangChain, AutoGen, CrewAI, etc.)
Proficient in Python and familiar with modern AI tools and APIs
Understanding of prompt engineering, tool use, and agent architecture patterns
Comfortable working in a fast-paced, research-meets-production environment with ambiguity and exploration
Passion for organization and documentation
Strong written and verbal communication skills and ability to build strong relationships and trust with all partners at GoFundMe both technical and non-technical

Job Responsibility

Prototype LLM-based agents with advanced reasoning, planning, and long-term task decomposition capabilities
Explore multi-agent orchestration using frameworks like LangGraph, CrewAI, and Google ADK
Implement agent memory architectures like Pinecone, ChromaDB, or Weaviate, enabling persistent context across conversations and workflows
Integrate external APIs, internal tools, and structured data into agentic planning and execution flows
Help build scalable evaluation pipelines, including human-in-the-loop and automated testing frameworks
Contribute to our safety, governance, and observability tooling—embedding transparency and accountability into agent behavior

What we offer

Make an Impact: Be part of a mission-driven organization making a positive difference in millions of lives every year
Innovative Environment: Work with a diverse, passionate, and talented team in a fast-paced, forward-thinking atmosphere
Collaborative Team: Join a fun and collaborative team that works hard and celebrates success together
Competitive Benefits: Enjoy competitive pay and comprehensive healthcare benefits
Holistic Support: Enjoy financial assistance for things like hybrid work, family planning, along with generous parental leave, flexible time-off policies, and mental health and wellness resources to support your overall well-being
Growth Opportunities: Participate in learning, development, and recognition programs to help you thrive and grow
Commitment to DEI: Contribute to diversity, equity, and inclusion through ongoing initiatives and employee resource groups
Community Engagement: Make a difference through our volunteering and Gives Back programs

Senior AI Engineer

Elsewhen, a London-based consultancy, designs and builds technology solutions fo...

Location

United Kingdom , London

Salary:

Not provided

Elsewhen

Expiration Date

Until further notice

Requirements

Professional AI engineering experience
Background in Software Engineering with Python
Solid understanding of the Python standard library and modern Python coding, testing, debugging and automation techniques
Hands-on experience building solutions using LLMs and Agentic architectures with ADK, LlamaIndex, or LangGraph
Working with vector databases for embedding and indexing
Strong experience with cloud platforms
Strong experience with API design and frameworks like FastAPI or Flask
Solid experience with relational databases and SQL
Interest in expanding your knowledge into GenAI and machine learning
Excellent communication skills and the ability to work well in a collaborative team environment

Job Responsibility

Experiment with POCs to find solutions for real-world problems using Large Language Models
Collaborate on AI-driven projects, working alongside engineers, product managers and AI specialists while maintaining clear documentation
Build and deploy Agentic LLM-based solutions with LangGraph
Familiar with different multi agent system patterns
Build and deploy LLM-based solutions using RAG
Familiar with different types of databases: Relational, Graph etc
Design and optimise APIs using Python and FastAPI to serve AI solutions
Familiar with GCP ecosystem and Cloudrun
Build and optimise data pipelines for vector search and knowledge retrieval using Vector databases and embedding models

What we offer

Private Health Insurance: Comprehensive coverage for both physical and mental health
Flexible and Remote-First Work Environment: Choose how and where you work, with the option for weekly team meet-ups in central London
Generous Leave Policy: 27 days of holiday plus bank holidays
Family-friendly policies, including enhanced maternity, paternity and shared
Learning and Development: Individual annual budget of £2,000 for learning and development, with dedicated learning days
Feel Better Fund: £500 to help set up your remote office
Social Events: Monthly and quarterly team events, an annual team trip, and half-yearly social events
Gym Membership Contribution: Support for maintaining your physical health
Pension Contribution: Enhanced employer pension contribution of 6%
Bonus Opportunities: Potential to receive a discretionary (non-contractual) bonus based on business and personal achievements

Volumetric Studio Operator and AI Specialist

We offer a position in volumetric imaging for use in feature films, virtual prod...

Location

Germany , Potsdam/Berlin

Salary:

Not provided

Volucap

Expiration Date

Until further notice

Requirements

Experience in operating volumetric studios or similar high-resolution recording systems
Strong knowledge of LLMs and their practical applications
Excellent Python skills and experience with relevant libraries (e.g., TensorFlow, PyTorch)
Technical aptitude and experience with complex camera systems and recording technologies
Creativity and problem-solving skills: Ability to find innovative solutions to technical challenges
Strong communication skills and ability to work effectively in a team

Job Responsibility

Operation and maintenance of the volumetric studio: Ensure smooth operation of recordings, maintenance, and calibration of camera systems and technical infrastructure
Development and implementation of AI models: Apply and optimize large language models (LLMs) for various projects
Programming in Python: Develop and maintain scripts and applications to automate and improve workflows
Deepfake technologies: Apply and further develop our specialized deepfake rig systems and integrate deepfake detection systems
Medical applications: Support the capture and processing of data from medical applications

AI Operations Specialist

We are seeking a detail-oriented Agentic Specialist to oversee the daily operati...

Location

United States , San Francisco

Salary:

75000.00 - 125000.00 USD / Year

PagerDuty

Expiration Date

Until further notice

Requirements

Demonstrated experience working with CRM systems, marketing automation platforms, or customer engagement tools
Strong written communication skills with exceptional attention to detail and ability to maintain brand voice consistency
Basic understanding of sales processes, lead qualification, and customer journey mapping
Comfortable with technology and demonstrated ability to quickly learn new software platforms and tools
Familiarity with data analysis tools and ability to create basic reports and dashboards
Ability to multitask and prioritize effectively in a fast-paced, dynamic environment
Strong problem-solving skills with a proactive approach to identifying and addressing issues
Excellent interpersonal skills for collaborating across multiple departments and stakeholder groups

Job Responsibility

Daily Operations & Monitoring: Monitor AI agent conversations and interactions with prospects in real-time to ensure optimal performance and customer experience, review conversation logs for quality, accuracy, and brand compliance while identifying opportunities for improvement, conduct regular health checks on agentic systems to prevent downtime and maintain seamless operations
Content Management & Optimization: Update and maintain comprehensive supporting content libraries including objection handling scripts, product information, and conversation flows, identify gaps in AI knowledge base and flag content needs to marketing and sales teams for development, ensure all agentic tools have access to current, accurate, and compelling messaging that aligns with company positioning
Technical Support & Issue Resolution: Troubleshoot basic AI agent issues including conversation flow problems, integration hiccups, and content delivery errors, escalate complex technical problems to appropriate teams while maintaining detailed documentation of issues and resolutions, serve as the primary point of contact for sales and success teams experiencing agentic tool challenges
Performance Analysis & Reporting: Track key performance metrics including conversation completion rates, lead qualification accuracy, response times, and conversion metrics, generate regular reports on agent effectiveness, identifying trends and opportunities for optimization, present findings to stakeholders with actionable recommendations for improvement
Cross-Functional Collaboration: Collaborate closely with sales and marketing teams to ensure AI messaging stays current with product updates, campaign launches, and market positioning changes, partner with customer success teams to optimize post-sale agentic interactions and support workflows, work with product and engineering teams to communicate user feedback and feature requests

What we offer

Competitive salary
Comprehensive benefits package
Flexible work arrangements
Company equity
ESPP (Employee Stock Purchase Program)
Retirement or pension plan
Generous paid vacation time
Paid holidays and sick leave
Dutonian Wellness Days & HibernationDuty - companywide paid days off in addition to PTO
Paid parental leave: 22 weeks for pregnant parent, 12 weeks for non-pregnant parent

Fulltime

AI Conversation Design Specialist

This role is focused on creating a Conversational AI-driven self-service experie...

Location

Munich; Berlin; Dublin

Salary:

Not provided

Personio SE & Co. KG

Expiration Date

Until further notice

Requirements

4–6 years of experience delivering AI Agents or chatbots (voice, chat, email, and messaging) preferably in SaaS, technology, or customer experience
German fluency highly preferred
Hands-on experience with chatbots / AI copilots such as Intercom Fin, Decagon, MavenAGI, Ada, Forethought or equivalent
Familiarity with APIs, comfortable occasionally writing snippets of code to bring in data from other systems into Intercom Fin
Strong understanding of AI/ML concepts, natural language processing, and customer support technologies (e.g., chatbots, virtual assistants)
Experience working with data analytics tools and interpreting model performance metrics
Demonstrated ability to translate business needs and customer pain points into technical requirements for AI solutions
Experience collaborating with Product, Engineering, Data, Systems, Customer Support, and Professional Services teams
Knowledge of customer experience metrics (CSAT, NPS, etc.) and best practices in B2B SaaS
Strong project management skills, including Agile or similar methodologies

Job Responsibility

Self-Service and Productivity Outcomes: Drive contact volume reduction and self-service by implementing solutions for top contact drivers, as well as driving Support Agent productivity and handling time through improvements to co-pilots
AI Conversation Automation: Develop AI automated workflows / agent operating procedures, run batch tests, configure personalized answers, and reverse engineer unresolved conversations
Conversation Design: Architect natural, useful interactions between customers and AI chatbots. Design the flow and logic of conversations for the chatbots, partnering with subject-matter experts. You tune and design bot conversations —flows, intents/tagging, prompts/responses, fallback logic— to cut hallucinations, misroutes, and unnecessary handoffs
AI Service Journey Design: Define and govern AI↔human and AI↔AI handoffs (confidence thresholds, triggers, routing rules), ensuring brand voice, privacy, and responsible-AI standards, building a deep knowledge of our customer journeys and user stories to anticipate and design for different scenarios
Data Integration: bring data from 3rd party systems and our own product into Intercom Fin to improve AI conversation effectiveness
Performance Monitoring and Improvement: Track key metrics (e.g., self-serve resolutions, monthly active users, deflection rates, resolution time, customer experience score, NPS) to evaluate AI impact, identify gaps, and implement improvements
AI Solution Delivery: Lead the implementation of AI-powered tools (e.g., chatbots, copilots, virtual assistants) that address common customer pain points and streamline support and professional services processes, and partner with Engineering and Systems on integrations and fixes
Cross-Functional Collaboration: Work closely with Product, Engineering, Customer Experience, Data and Systems teams to ensure AI solutions are aligned with customer needs and business objectives, and that we integrate seamlessly with the Personio Assistant and internal support tooling
Continuous Quality Improvement: Oversee the ongoing quality fine-tuning of AI tools using real customer data and feedback to improve routing, accuracy, relevance, and customer satisfaction. You approach with a product mindset, anticipating edge cases and interaction effects, and regression test as new changes are introduced. You monitor bot/service health, triage incidents and misroutes, and coordinate rapid fixes and postmortems as needed
Change Management: Champion the adoption of AI tools within customer-facing teams, supporting the development of training materials and enablement sessions dedicated to developing AI proficiency within CX

What we offer

Receive a competitive reward package – reevaluated each year – that includes salary, benefits, and pre-IPO equity
Enjoy 28 days of paid vacation, plus an additional day after 2 and 4 years
Make an impact on the environment and society with 1 (fully paid) Impact Day
Receive generous family leave, child support, mental health support, and sabbatical opportunities
We enjoy gathering for meals, cultural initiatives, and events like local Summer Sessions and year-end celebrations. There's also healthy snacks, drinks, and a weekly catered lunch
20 Flex Days per year to work remotely from other locations

Fulltime

Data Engineer and AI Specialist

Sithafal

Location:
India , Tirupati, Bangalore

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
February 24, 2026

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